More accurate models for the prediction of soil organic carbon (SOC) by visible-near-infrared (Vis-NIR) spectroscopy remains a challenging task, especially when the soil spectral libraries (SSL) is composed of soils with a high pedological variation. One proposition to increase the models accuracy is to reduce the SSL variance, which can be achieved by stratifying the library into sub-libraries. Thus, the main objective of this study was to evaluate whether the stratification of a SSL by environmental, pedological and Vis-NIR spectral criteria results in greater accuracy of spectroscopic models than to general models for prediction of SOC content. The performance of the models was evaluated considering the variance of soil components and sample number. In addition, we tested the effect of two spectral preprocessing techniques and two multivariate calibration methods on spectroscopic modeling. For these purposes, a SSL composed of 2471 samples from Southern Brazil was stratified based on i) physiographic regio pedological and spectral strata, in order to optimize SOC predictions.India is facing a double burden of malnourishment with co-existences of under- and over-nourishment. Various socioeconomic factors play an essential role in determining dietary choices. Agriculture is one of the major emitters of greenhouse gases (GHGs) in India, contributing 18% of total emissions. It also consumes freshwater and uses land significantly. https://www.selleckchem.com/products/cadd522.html We identify eleven Indian diets by applying k-means cluster analysis on latest data from the Indian household consumer expenditure survey. The diets vary in calorie intake [2289-3218 kcal/Consumer Unit (CU)/day] and dietary composition. Estimated embodied GHG emissions in the diets range from 1.36 to 3.62 kg CO2eq./CU/day, land footprint from 4 to 5.45 m2/CU/day, whereas water footprint varies from 2.13 to 2.97 m3/CU/day. Indian diets deviate from a healthy reference diet either with too much or too little consumption of certain food groups. Overall, cereals, sugar, and dairy products intake are higher. In contrast, the consumption of fruits and vegetables, pulses, and nuts is lower than recommended. Our study contributes to deriving required polices for the sustainable transformation of food systems in India to eliminate malnourishment and to reduce the environmental implications of the food systems.This study is part of the "Air Polluion Impacts on Cardiopulmonary disease in Beijing an integrated study of Exposure Science, Toxicologenomics &amp; Environmental Epidemiology (APIC-ESTEE)" project under the UK-China joint research programme "Atmospheric Pollution and Human Health in a Chinese Megacity (APHH-China)". The aim is to capture the spatio-temporal variability in people's exposure to fine particles (PM2.5) and black carbon (BC) air pollution in Beijing, China. A total of 120 students were recruited for a panel study from ten universities in Haidian District in northwestern Beijing from December 2017 to June 2018. Real-time personal concentrations of PM2.5 and BC were measured over a 24-h period with two research-grade portable personal exposure monitors. Personal microenvironments (MEs) were determined by applying an algorithm to the handheld GPS unit data. On average, the participants spent the most time indoors (79% in Residence and 16% in Workplace), and much less time travelling by Walking, Cycling, Bus and Metro. Similar patterns were observed across participant gender and body-mass index classifications. The participants were exposed to 33.8 ± 27.8 μg m-3 PM2.5 and to 1.9 ± 1.2 μg m-3 BC over the 24-h monitoring period, on average 24.3 μg m-3 (42%) and 0.8 μg m-3 (28%) lower, respectively, than the concurrent fixed-site ambient measurements. Relative differences between personal and ambient BC concentrations showed greater variability across the MEs, highlighting significant contributions from Dining and travelling by Bus, which involve potential combustion of fuels. This study demonstrates the potential value of personal exposure monitoring in investigating air pollution related health effects, and in evaluating the effectiveness of pollution control and intervention measures.Cultures of Scytonema javanicum obtained from artificial medium are used to control desertification, and through the effective redistribution of nutrients, related environmental problems can be alleviated. Wastewater is considered to be a potential alternative medium for S. javanicum. However, the effect of temperature on the nutrient redistribution ability of S. javanicum cultured in wastewater has rarely been considered. Therefore, this study explores the effect of temperature on S. javanicum in wastewater. The results showed that a sufficient temperature increase (from 25 °C to 30 °C) increased the photosynthetic activity of photosynthetic system II (PSII), accelerated the accumulation rate of S. javanicum biomass, and improved the removal efficiency of nutrients in wastewater. However, an increasing temperature caused a decrease in the final accumulated biomass. When the temperature was above 35 °C, the ratio of the variable to maximal fluorescence (Fv/Fm) of S. javanicum decreased, thus, causing damage to PSII. The average Fv/Fm at 35 °C and 40 °C decreased by 10.49% and 72.37%, respectively, compared to that at 25 °C. By analysing the chlorophyll fluorescence induction kinetics (OJIP) curve after 30 days, the P phase at 30 °C increased by 15.47% relative to that at 25 °C, whereas that at 35 °C and 40 °C decreased by 45.54% and 86.37%, respectively. In particular, at 40 °C, the O-J-I-P phase transformed into the O-J (J = I = P) phase, which caused irreversible damage to the PSII of S. javanicum. Comprehensive scores were determined using the entropy weight method and revealed that 30 °C was the optimal temperature for the wastewater culture of S. javanicum. This temperature improved the biomass accumulation rate and wastewater transfer efficiency. These results provide a scientific basis for improving the efficiency of the coupling technology of wastewater treatment and desert algal cultivation.Historical contamination of sediments from industries that commenced before environmental regulations were commonplace is prevalent in many large cities. This contamination is frequently overlain and mixed with more recent urban contamination. The remediation of contaminated sites is often a very expensive exercise and the final remediation criteria often reflect a trade-off between protecting human and ecological health and the finances of those deemed responsible for the site clean-up. In this study, we describe an assessment of estuarine sediments impacted historically by contamination from a gasworks site. The major historical sediment contaminants included polycyclic aromatic hydrocarbons (PAHs) and other petroleum-related hydrocarbons (TRHs). Elevated concentrations of metals exist throughout the city region due to historical pollution and ongoing urban stormwater discharges. Equilibrium partitioning models were used to consider the influence on the bioavailability of PAHs of both natural sedimentary organic carbon and forms of black carbon (pyrogenic carbon - coal tars, charcoal).